Tech Research Collective

Join Our Action Research Community: The Tech Research Collective

Are you passionate about the future of education and curious about how artificial intelligence (AI) can enhance learning and teaching? Online Learning is excited to announce the formation of a new community group dedicated to exploring and inspiring action research on AI in the classroom. We invite all faculty members who are interested in pioneering innovative educational practices and contributing to cutting-edge research to join us!

Why Join?

  • Engage with Like-Minded Educators: Connect with a community of educators who share your interest in AI and are committed to advancing knowledge and practice in the field.
  • Lead Innovation: Be at the forefront of educational innovation by exploring how AI can be used to enhance teaching and learning, from personalized learning experiences to advanced data analytics.
  • Contribute to Scholarship: Participate in research that can shape the future of education and contribute to the growing body of knowledge on AI in teaching and learning.

Who Should Join? This group is open to all faculty members who are interested in exploring the role of AI in education, regardless of prior experience with technology or research. Whether you’re a novice curious about AI’s potential or an expert looking to dive deeper into action research, this community will be a place for you to learn, grow, and innovate.

How to Get Involved: If you’re interested in joining this exciting new initiative, please contact our team at onlinelearning@marshall.edu for more information. We look forward to exploring the future of AI in education with you!

What Will It Look Like?

  • Monthly Meetings: We will hold one meeting each month where members come together to discuss research ideas, share findings, and explore how AI can be applied to enhance teaching and learning.
  • Teams Collaborative Space: In between meetings, we will use a dedicated Microsoft Teams space for ongoing collaboration. Members are encouraged to submit articles, ideas, case studies, or research pieces that will help drive the monthly discussions and inspire new research directions.

Let’s work together to contribute to the future of teaching and learning.

 

References

Carnegie Mellon’s Teaching as Research group

ASU’s Learning Future’s Collaborative

Michigan’s Ed Tech Collective

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